Senior Staff Engineer, Lustre

This is a fully remote position, open to applicants in California.

📋 Description

• Deliver profound technical direction across LustreFS subsystems, which include llite, MDS/MDT, OSS/OST, LDLM, recovery, and LNet.

• Take ownership of intricate root-cause analysis for challenging customer, scale, and production issues spanning kernel, filesystem, network, and transport layers.

• Spearhead the design and execution of new features, enhancements in reliability, scalability improvements, and performance optimizations within LustreFS.

• Facilitate architectural evaluations for both kernel-space and user-space modifications, ensuring a strong focus on accuracy, backward compatibility, and operability.

• Establish debugging and observability strategies for complex distributed failure situations, including failover, recovery storms, lock contention, and transport degradation.

• Collaborate with principal engineers, support teams, QE, DevOps, and release teams to enhance product quality, testing depth, and release confidence.

• Mentor senior and mid-level engineers; develop structured learning pathways, review standards, and subsystem ownership models to foster redundancy.

• Advocate for the adoption of AI-assisted workflows for issue triage, log analysis, code review support, knowledge retention, and design acceleration, ensuring appropriate engineering guardrails.

⛳️ Requirements

• Over 15 years of experience in distributed systems, filesystems, Linux kernel development, or storage infrastructure engineering.

• In-depth hands-on knowledge of LustreFS internals and production operations, including one or more of the following: metadata services, object storage services, client/llite, locking, recovery, or LNet.

• Proficient C systems programming skills and extensive Linux debugging experience utilizing tools like gdb, crash, perf, ftrace, eBPF, systemtap, and core analysis.

• Strong comprehension of Linux kernel concurrency, memory management, I/O paths, networking, and performance optimization.

• Experience with high-performance networking and transport technologies such as InfiniBand, RDMA, RoCE, and/or TCP at scale.

• Demonstrated ability to identify complex cross-layer issues that involve kernel, storage, networking, and distributed coordination.

• Experience leading design conversations, code reviews, and making subsystem-level technical decisions.

• Exceptional written and verbal communication skills, capable of guiding senior technical audiences and influencing cross-functional teams.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options